A Deep Learning Approach for Automatic Segmentation during Daily MRI-Linac Radiotherapy of Glioblastoma

A Deep Learning Approach for Automatic Segmentation during Daily MRI-Linac Radiotherapy of Glioblastoma

Glioblastoma changes during chemoradiotherapy are inferred from high-field MRI before and after treatment but are rarely investigated during radiotherapy. The purpose of this study was to develop a deep learning network to automatically segment glioblastoma tumors on daily treatment set-up scans fro...

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Bibliographic Details
Main Authors: Adrian L. Breto, Kaylie Cullison, Evangelia I. Zacharaki, Veronica Wallaengen, Danilo Maziero, Kolton Jones, Alessandro Valderrama, Macarena I. de la Fuente, Jessica Meshman, Gregory A. Azzam, John C. Ford, Radka Stoyanova, Eric A. Mellon
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Cancers
Subjects:
glioblastoma
auto-segmentation
MRI-linac
radiation therapy
deep learning
MRI
Online Access:https://www.mdpi.com/2072-6694/15/21/5241

Internet

https://www.mdpi.com/2072-6694/15/21/5241

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